System and method for client network congestion detection, analysis, and management

Abstract

A system and method for client network congestion analysis and management is disclosed. According to one embodiment, the method includes: collecting real-time network data; executing calculations on the real-time network data to compute performance metrics; detecting peak usage time; and detecting one or more congestion incidents, wherein a congestion incident comprises a persistence of one or more metrics over a time window that comprises detecting a proportion of metric values crossing a threshold that exceeds a defined percentage amount, detecting a time-ordered stretch of metric values that exceeds a defined threshold, or combinations thereof.

Description

COPYRIGHT NOTICE[0001]A portion of the disclosure of this patent document contains material that is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all copyright rights whatsoever.TECHNICAL FIELD[0002]The present disclosure pertains generally to the field of network congestion detection and analysis. More particularly, the present disclosure relates to a network congestion detection, analysis, and management using real-time network data.DESCRIPTION OF THE RELATED ART[0003]Obtaining business-level insight and control over the applications, users and devices in modern networks is becoming extremely challenging. On the applications front, modern networks have a huge mix in application types and deployment locations. For example, business applications may be hosted off-premise in th...

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Benefits of technology

[0010]Furthermore, in some embodiments of the disclosed methods, the real time network data includes: data obtained from deep packet analysis of real time network traffic, data from network elements including wireless controllers, access points, on-premise network systems, or combinations thereof. In other embodiments of the disclosed methods, the real time network data includes: device/OS information, wireless metrics, Layer 2 through Layer 4 information, network services related Layer 7 information, Layer 5 through Layer 7 information, and application related data. In still other embodiments of the disclosed methods, the wireless metrics include SNR (signal to noise ratio), packet loss/retransmits, connected access points, channel utilization at the access points, neighboring access points information, rogue/outside-network access points information, interference information in the RF bands, network topology information, CPU/memory-utilization/reboots/configuration of wireless controllers and access points, or combinations thereof. In yet other embodiments of the disclosed methods, the Layer 2 through Layer 4 information includes VLAN data, receive/transmit bytes/packets, DSCP (Differentiated Services Code Point) data, TCP (transmission control protocol)/UDP (User Datagram Protocol)/RTP (Real-time Transport Protocol)/SRTP (Secure Real-time Transport Protocol)/FTP (File Transfer Protocol) protocol related data such as latency/retransmits, or combinations thereof.

[0011]Continuing, in some embodiments of the disclosed methods further include network services related Layer 7 information includes DHCP, DNS (Domain Name System), RADIUS protocol information such as response times and failure codes, or combinations thereof. In other embodiments of the disclosed methods, the Layer 5 through Layer 7 information includes SSL (Secure Sockets Layer) Certificate, hostnames, HTTP (Hypertext Transfer Protocol) response times, or combinations thereof. In still other embodiments of the disclosed methods, the real time networ...

Problems solved by technology

Obtaining business-level insight and control over the applications, users and devices in modern networks is becoming extremely challe...

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